Javier Stokes (@javierstokesxxx) 's Twitter Profile
Javier Stokes

@javierstokesxxx

I stopped trying to understand math and im so much happier now

ID: 1691908055666167808

calendar_today16-08-2023 20:23:06

145 Tweet

29 Followers

417 Following

Javier Stokes (@javierstokesxxx) 's Twitter Profile Photo

MAJOR RESULT: After its original introduction 50 years ago, the Zubair-Karniadakis conjecture has been proven. 📈🎉 Link: bitly.ws/SRqT

joowon (@n0w00j) 's Twitter Profile Photo

Be honest, when an LLM gives u a fire programming suggestion, do u say thank u?? cause i be glazin cursor, claude, AND chatgpt

joowon (@n0w00j) 's Twitter Profile Photo

YOOO just hit my all time high WPM on monkeytype. this is your sign to never stop working on your craft. dreams really DO come true 💯💯💯

YOOO just hit my all time high WPM on monkeytype. this is your sign to never stop working on your craft. 

dreams really DO come true 💯💯💯
joowon (@n0w00j) 's Twitter Profile Photo

i went out drinking last night. but as you know a serial entrepreneur like myself never leaves a room without having learned something so here’s what getting fucked up taught me about b2b saas 🧵

joowon (@n0w00j) 's Twitter Profile Photo

I’ve only gotten one A in my entire life Graduated West Georgia Tech with a 2.2/4.0 GPA with a bachelors in Psychology and a minor in History. I slept 13-15 hours a night, pulled all nighters gaming Was rejected from every fraternity And ate McDonalds 5-6 times a week. Ask

William Gilpin (@wgilpin0) 's Twitter Profile Photo

We present Panda: a foundation model for nonlinear dynamics pretrained on 20,000 chaotic ODE discovered via evolutionary search. Panda zero-shot forecasts unseen ODE best-in-class, and can forecast PDE despite having never seen them during training (1/8) arxiv.org/abs/2505.13755

We present Panda: a foundation model for nonlinear dynamics pretrained on 20,000 chaotic ODE discovered via evolutionary search. Panda zero-shot forecasts unseen ODE best-in-class, and can forecast PDE despite having never seen them during training (1/8)
arxiv.org/abs/2505.13755
Jerry Liu (@jerrywliu) 's Twitter Profile Photo

1/10 ML can solve PDEs – but precision🔬is still a challenge. Towards high-precision methods for scientific problems, we introduce BWLer 🎳, a new architecture for physics-informed learning achieving (near-)machine-precision (up to 10⁻¹² RMSE) on benchmark PDEs. 🧵How it works: